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KAUST Signs MoUs with Chinese Academic Institutions and Innovation Centers

A view of the King Abdullah University of Science and Technology (KAUST). (KAUST)
A view of the King Abdullah University of Science and Technology (KAUST). (KAUST)
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KAUST Signs MoUs with Chinese Academic Institutions and Innovation Centers

A view of the King Abdullah University of Science and Technology (KAUST). (KAUST)
A view of the King Abdullah University of Science and Technology (KAUST). (KAUST)

The King Abdullah University of Science and Technology (KAUST) signed on Saturday various memorandums of understanding (MoUs) with prestigious academic institutions and leading global innovation centers in the Chinese city of Shenzhen.

The MoUs aim to boost collaboration in the fields of industrial innovation, technology transfer, research, talent exchange, training programs, and entrepreneurship.

The agreements were signed during a visit by a Chinese delegation, headed by Mayor of Shenzhen city Qin Weizhong, to the KAUST on Saturday.

The delegation included 50 representatives from various institutions, including Tsinghua University, Tsinghua Shenzhen International Graduate School (Tsinghua SIGS), Research Institute of Tsinghua University in Shenzhen (RITS), Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen InnoX Academy, and Shenzhen Research Institute of Big Data (SRIBD).

Such partnerships represent a significant step in supporting the economic transformation efforts in Saudi Arabia, aiming to prepare a new generation of scientific research and innovation leaders while bolstering the higher education system in the Kingdom to unprecedented levels.

Partnerships with the Chinese city of Shenzhen are a pivotal component of KAUST’s new strategy, which was announced last month.

One of the strategy's goals is to solidify scientific collaboration between KAUST and renowned academic institutions and innovation centers worldwide. It also seeks to forge scientific alliances to promote the adoption of promising technologies and encourage research commercialization, thereby raising the Kingdom's economic competitiveness.

Shenzhen city is recognized as one of the world's foremost hubs for technological advancement and is the third-most economically and technologically advanced city in China, following Shanghai and Beijing.

It serves as a significant strategic partner in bolstering the innovation ecosystem in the Kingdom and further facilitates collaboration with leading companies, academics, and experts in the field of innovation in Shenzhen. This will in turn solidify KAUST’s reputation as a global hub for technology and innovation.

President of KAUST Dr. Tony Chan said the university's distinguished partnerships with prestigious institutions in Shenzhen will support KAUST's core objectives.

“These objectives include strengthening the promotion of its global research partnerships, nurturing exceptional talent, and delivering tangible benefits for the Kingdom,” he said.

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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)
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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)

One of the significant challenges facing researchers in artificial intelligence (AI) development is ensuring objectivity amid the rapid and ever-increasing flow of information online. With numerous tools now available to disseminate diverse data and information, it has become increasingly difficult for audiences to distinguish between truth and propaganda on one hand and between objective journalism and biased framing on the other.
This has underscored the growing importance of technologies designed to analyze, detect, and filter vast amounts of data. These tools aim to curb the spread of misinformation, combat rumors and fake news, and make the internet a safer space for sharing and accessing accurate information.
Fake news is defined as media content created and published with the intent to mislead or manipulate public opinion, often for political, economic, or social purposes. The methods for creating fake news range from simple manipulation of facts to sophisticated techniques like deepfakes, further complicating efforts to identify them.
In Abu Dhabi, Dr. Preslav Nakov, a professor and chair of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence, is leading innovative efforts to develop AI technologies, particularly in analyzing the methods used in media to influence public opinion.
Among his most notable contributions is the development of FRAPPE, an interactive tool for global news analysis. FRAPPE provides comprehensive insights into the persuasive and rhetorical techniques employed in news articles, enabling users to gain a deeper understanding of diverse media contexts. According to Nakov, FRAPPE helps users identify how news is framed and presented in different countries, offering a clearer perspective on divergent media narratives.
FRAPPE’s capabilities also extend to analyzing media framing methods. Nakov explains that the tool allows users to compare how different media outlets address specific issues. For instance, one outlet in a particular country might emphasize the economic implications of climate change, while another focuses on its political or social dimensions.
AI is the cornerstone of FRAPPE’s functionality, enabling the tool to analyze complex linguistic patterns that influence readers’ opinions.
In a discussion with Asharq Al-Awsat, Nakov highlighted the tool’s capabilities, noting that AI in FRAPPE is fundamental to analyzing, classifying, and detecting intricate linguistic patterns that shape readers’ perceptions and emotions. He explained that the application uses AI to identify propaganda and persuasion techniques such as insults, fear-based language, bullying, exaggeration, and repetition. The system has been trained to recognize 23 subtle techniques often embedded in real-world media content.
Ensuring objectivity and reducing bias are among the main challenges in developing AI tools like FRAPPE. Nakov explains that FRAPPE focuses on analyzing the language used in articles rather than evaluating their accuracy or political stance.
To date, FRAPPE has analyzed over two million articles on topics such as the Russia-Ukraine war and climate change. The tool currently supports content analysis in 100 languages, with plans to expand its capabilities to additional languages and enhance the accuracy of its analyses, further strengthening its ability to comprehend global media patterns.